CN110427004A - A kind of intelligence spinning workshop intelligent management system - Google Patents
A kind of intelligence spinning workshop intelligent management system Download PDFInfo
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- CN110427004A CN110427004A CN201910741780.8A CN201910741780A CN110427004A CN 110427004 A CN110427004 A CN 110427004A CN 201910741780 A CN201910741780 A CN 201910741780A CN 110427004 A CN110427004 A CN 110427004A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Quality & Reliability (AREA)
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- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
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Abstract
The invention discloses a kind of intelligent spinning workshop intelligent management systems, including information monitoring system, information processing system and Information Regulating system.It is monitored in real time by data of the information monitoring system to entire spinning workshop, then the data in spinning workshop are handled by information processing system, the regulation parameter of intelligent spinning workshop is obtained, finally by the operation of equipment in Information Regulating system regulation intelligence spinning workshop.Intelligence spinning workshop intelligent management system provided by the invention passes through informatization and network technology, merge sensor technology and frequency control etc., it realizes the automated production from raw material to finished product and transports on-line monitoring and the control of the quality and yield of control and product, significantly improve product quality, production efficiency, production cost is reduced, has the advantages that modernization, scientific and standardization.
Description
Technical field
The invention belongs to spinninging technical field more particularly to a kind of intelligent spinning workshop intelligent management systems.
Background technique
Intelligent spinning workshop is based on supermatic production, transport and storage facilities, and spinning workshop information system can
To monitor the equipment operation in workshop, production status, production environment etc. in real time, and realize both-way communication, it is such as real by expert system
When control the quality of production, by control Workshop air conditioner system adjust production environment, once occur needing the failure of human intervention can
Personnel on duty are notified to sound an alarm, and handle problem in time.Wherein, Spinning Process Design is the core of entire intelligent Spinning process
Content, the formulation of be related to distributing cotton index and Spinning process each process technological parameter, design level have been largely fixed enterprise
The quality of industry product.
However, Spinning Process Design has the characteristics that process is various, process is complicated and changes frequent, every procedure of spinning
There is corresponding numerous technological parameter, cause information management difficulty larger, textile enterprise consumes a large amount of manpower object herein
Power resource.With the development of market economy, demand of the client to resultant yarn is increasingly various, and the requirement to product quality is also further tight
Lattice, this undoubtedly more exacerbates the difficulty of Spinning Process Design and products thereof quality management.In addition, distributing cotton at present mainly by distributing cotton
Technique person carries out according to subjective experience, and low efficiency of distributing cotton, effect are poor, it tends to be difficult to find best cotton assorting scheme, cannot rationally make
With the raw material resources of enterprise, lead to the increase of cost of material.It can be seen that traditional engineer and quality management mode is more next
It is more not suitable with the demand of Modern Spinning Process production, it can neither reasonable disposition corporate resources, it is also difficult to guarantorizations product quality, great limit
The raising of Zhi Liao enterprise productivity effect.
Therefore, the present invention is based on informatization and network technology, merge sensor technology and frequency control etc. set up intelligence spinning
Workshop intelligent management system, by the real time monitoring to entire spinning workshop, realize automated production from raw material to finished product and
On-line monitoring and the control of the quality and yield of transport control and product.
Summary of the invention
In view of the above-mentioned drawbacks of the prior art, the purpose of the present invention is to provide a kind of intelligent spinning workshops intelligently to manage
Reason system, including information monitoring system, information processing system and Information Regulating system；The information processing system passes through number of distributing cotton
It learns model distribute cotton the intelligent operation of index, the information monitoring system supervises the data in intelligent spinning workshop in real time
Control, and spinning quality intelligent control model and spinning process Optimized model are constructed by information processing system, it realizes to intelligent spinning
Regulate and control the optimization of parameter, the final whole process intelligent management for realizing intelligent spinning workshop between charka.
To achieve the above object, the present invention is implemented with the following technical solutions:
A kind of intelligence spinning workshop intelligent management system, comprising:
Information monitoring system, for monitoring the data in intelligent spinning workshop；
Information processing system, at the data in intelligent spinning workshop for being monitored to the information monitoring system
Reason, obtains the regulation parameter of intelligent spinning workshop；With,
Information Regulating system, for regulating and controlling the fortune of equipment in intelligent spinning workshop according to the regulation parameter of the spinning workshop
Row；
The regulation parameter of the spinning workshop includes the regulation parameter of spinning equipment and the regulation parameter of air-conditioning equipment；
The Information Regulating system includes:
Spinning equipment regulates and controls unit, for regulating and controlling the operation of spinning equipment according to the regulation parameter of the spinning equipment；With,
Air conditioning equipment regulation control unit, for regulating and controlling the operation of air-conditioning equipment according to the regulation parameter of the air-conditioning equipment.
Further, the information monitoring system includes:
Equipment operational monitoring module, the running state data for monitoring device；
Workshop condition monitoring modular, for monitoring the environmental data in intelligent spinning workshop；
Quality of production monitoring modular, for monitoring the qualitative data of product；
Production yields monitoring modular, for monitoring the yield data of product；With,
Production energy consumption monitoring modular, for monitoring the energy consumption data of production.
Further, the equipment operational monitoring module by be set to the sensor at each equipment monitor to obtain it is described
The running state data of equipment；
The workshop condition monitoring modular is supervised by the temperature and relative humidity and dust sensor being set in spinning workshop
Measure the environmental data in the intelligent spinning workshop；
The quality of production monitoring modular monitors to obtain institute by being set to the quality monitoring device at each spinning process
State the qualitative data of product；
The production yields monitoring modular monitors to obtain institute by being set to the output monitor at each spinning process
State the yield data of product；
The production energy consumption monitoring modular is monitored by being set to the energy-consumption monitoring device of power supply system and water system
To the energy consumption data of the production.
Further, the equipment operational monitoring module includes spinning equipment operational monitoring unit and air-conditioning equipment operation prison
Unit is surveyed, the spinning equipment operational monitoring unit includes opening picking equipment operational monitoring subelement, carding device operational monitoring
Subelement, drafting equipment operational monitoring subelement, rove equipment operational monitoring subelement, spun yarn equipment operational monitoring subelement,
Spooling oquipment operational monitoring subelement and baling equipment operational monitoring subelement.
Further, the information processing system includes data inputting module, data processing module, the data being sequentially connected
Output module and data disaply moudle, and the database mould being connected respectively with the data inputting module and data outputting module
Block；
Data and the data outputting module of the Database Unit for storing the data inputting module typing are defeated
Data out；
The data in intelligent spinning workshop that the data inputting module is monitored for information monitoring system described in typing；
The data processing module obtains intelligent spinning for handling the data of the data inputting module typing
The regulation parameter in workshop；
The data outputting module includes two output ports, is respectively used to export the regulation parameter of the spinning workshop
To the Information Regulating system and export to data disaply moudle；
The data disaply moudle is used to show the regulation parameter of the spinning workshop.
Further, temperature and humidity upper limit value and lower limit value and environment in spinning workshop are stored in the database module
Temperature range is at -5~40 DEG C, and humidity range is in the case where 0~99%, theoretical Temperature and Humidity Control parameter.
Further, in the database theoretical Temperature and Humidity Control parameter to maintain spinning workshop internal standard temperature value and mark
On the basis of quasi- humidity value, according to heat transfer through plane wall, heat convection, radiation heat transfer theoretical calculation；Wherein, normal temperature value and standard are wet
Angle value is respectively the median of temperature and humidity upper limit value and lower limit value.
Further, the data inputting module includes intelligent typing port and manual entry port, the intelligence typing
The data in intelligent spinning workshop that port is monitored for information monitoring system described in typing, the manual entry port is used for
Manual entry data.
Further, the data processing module of the information processing system includes:
Distribute cotton unit, distribute cotton the intelligent operation of composition for the requirement quality data according to product；
Process design unit, the requirement quality data for distribute cotton according to index and product carry out spinning equipment regulation
The intelligent operation of parameter；With,
Environment control unit, the intelligent operation of the regulation parameter for carrying out air-conditioning equipment according to the environmental data.
Further, the unit of distributing cotton distribute cotton the intelligent operation of composition by building mathematical model of distributing cotton, described
Mathematical model of distributing cotton is optimal for target with raw cotton cost minimization, index of distributing cotton, and establishes the mathematical model of distributing cotton of multi-objective restriction.
Further, the index of distributing cotton includes mic value, maturity, average length, the short delicate fingers number, fracture of raw cotton
Specific strength and neppiness index；The multi-objective restriction include distribute cotton inventory constraint, total weight of distributing cotton constraint, type of distributing cotton constraint and
Distribute cotton Index Constraints.
Further, the data processing module of the information processing system further includes process optimization unit, for according to institute
The qualitative data, yield data and the energy consumption data of production for stating product carry out the optimization operation of spinning equipment regulation parameter.
Further, the process optimization unit is established using the qualitative data of product as the first inspection target based on spinning
The quality optimization model of the multi-process knowledge connection of yarn process, on this basis, in conjunction with yield data and production energy consumption data
Further spinning process is optimized.
Further, the construction method of the quality optimization model are as follows:
(1) qualifying point is constructed by each process in spinning process, establishes qualifying point set；
(2) using yarn breakage intensity as Key Quality Indicator, the quality loss function and entire spinning of each process are constructed
The quality loss function of yarn process；
(3) corresponding each qualifying point technique when obtaining mass loss minimum is solved by continuous iteration and optimizing
The optimal solution of parameter；
(4) it on spinning quality control point and its basis of coupling relationship, establishes towards Spinning process process matter
Measure Optimization goal function；
(5) quality loss function of each process and the quality loss function of entire spinning process quality is substituted into seek
Excellent objective function forms the quality optimization model.
Further, the data processing module of the information processing system further includes failure predication unit, the information tune
Control system further includes fault warning unit；The failure predication unit carries out equipment according to the running state data of the equipment
Failure predication, and fault pre-alarming signal is issued by the fault warning unit in advance.
Further, the data processing module of the information processing system further includes failure diagnosis unit, for according to institute
The running state data for stating equipment judges whether equipment breaks down；And failure warning letter is issued by the fault warning unit
Number.
Further, the environment control unit includes coarse tuning system and micro-tensioning system, and the coarse tuning system passes through real-time
Environment temperature and humidity data, preset in advance Temperature and Humidity Control parameter are obtained, and is sent slightly to the air conditioning equipment regulation control unit
Adjust indication signal；The micro-tensioning system real-time reception Temperature Humidity Sensor monitoring data, and according to temperature and humidity Real-time Monitoring Data,
Send fine tuning indication signal in real time to air conditioning equipment regulation control unit.
Further, the corresponding location information of each sensor is also stored in the database module, each biography
Sensor is corresponding with the location information of the sensor stored in the database module respectively, when broken yarn or equipment occurs in yarn
When failure, the location information of corresponding sensor is sent to the fault warning unit by the data outputting module.
Further, the opening picking equipment operational monitoring subelement includes machine vision inspection agencies, for identification and
Extract cotton packet feature image, griping cotton machine feature image and the characteristics of image for grabbing the environment feature image in cotton working range.
Further, the composition of distributing cotton includes the qualitative data and composition ratio of raw material type, raw material；The product
Requirement quality data include the line density of yarn, fineness, the demand data of the twist and ultimate strength.
Further, the qualitative data of the product includes the qualitative data of the qualitative data of raw material, each process semi-finished product
And the qualitative data of resultant yarn.
Further, the qualitative data of the raw material includes the qualitative data of raw cotton and chemical fibre, each process semi-finished product
Qualitative data include opening and cleaning step, carding step, mixing in doubling step and Roving Frames semi-finished product qualitative data, the resultant yarn
Qualitative data include spinning process and winding procedure yarn quality data.
Further, the qualitative data of the raw cotton includes mic value, maturity, average length, the short delicate fingers of raw cotton
Number, strength and neppiness index, the qualitative data of the chemical fibre include chemical fibre regain, line density, shearing length and break
Split specific strength；The qualitative data of the resultant yarn includes that ultimate strength, cotton junction grain number, fineness, the twist and the hundred meters of quality of resultant yarn are inclined
Difference.
Further, the running state data of the equipment includes the running state data and air-conditioning equipment of spinning equipment
Running state data；The environmental data includes temperature data, humidity data and air cleaning degree in intelligent spinning workshop
According to.
Further, the spinning equipment includes that opening picking equipment, carding device, drafting equipment, rove equipment, spun yarn are set
Standby, Spooling oquipment and baling equipment；The air-conditioning equipment includes cleaner, temperature control equipment and Humidity regulating equipment.
Further, the running state data of the opening picking equipment include bale plucking equipment, mixed cotton equipment, opener equipment and
The running state data of scutching cotton equipment；The running state data of the bale plucking equipment includes starting and stopping, grabbing for bale plucking equipment
The speed of service and hired roughneck's revolving speed, the decline traverse of bale plucking equipment of cotton equipment.
Further, the running state data of the drafting equipment includes feeding roller, drawing rollers and delivery roller
Speed；The running state data of the rove equipment includes roller output speed, drafting multiple, the twist, flier revolving speed, bobbin turn
Speed and rail lifting speed；The running state data of the spun yarn equipment includes spindle revolving speed, wire loop revolving speed, ring plate lifting
Speed, thread board lifting speed, ring plate lifting traverse and thread board lifting traverse etc..
Further, the regulation parameter of the spinning equipment includes opening picking equipment, carding device, drafting equipment, rove
Equipment, spun yarn equipment, the regulation parameter of Spooling oquipment and baling equipment；The regulation parameter of the air-conditioning equipment includes including dedusting
The regulation parameter of equipment, temperature control equipment and Humidity regulating equipment.
Further, the management process of the intelligent spinning workshop intelligent management system is as follows:
S1. at the requirement quality data of the data inputting module typing product of the information processing system, the data
It manages module and composition of distributing cotton is obtained according to the requirement quality data operation of the product；
S2. the data processing module is distributed cotton the requirement quality data of composition and product according to step S1, operation
The spinning equipment for obtaining intelligent spinning workshop initially regulates and controls parameter；
The data processing module is distributed cotton the requirement quality data and instantly of index and product according to step S1
The temperature and humidity data of environment, the air-conditioning equipment that operation obtains intelligent spinning workshop initially regulate and control parameter；
S3. the data outputting module is initial by the spinning equipment of intelligence spinning workshop and air-conditioning equipment described in step S2
Regulation parameter is exported to the Information Regulating system, and the Information Regulating system is according to the spinning equipment and sky of the spinning workshop
Equipment is adjusted initially to regulate and control the operation that parameter regulates and controls equipment in intelligent spinning workshop；
S4. in intelligent spinning workshop in the operational process of equipment, the information monitoring system is in intelligent spinning workshop
Data carry out real-time monitoring, and the data monitored are sent to the data inputting module of the information processing system；
S5. the process optimization unit of the data processing module obtains intelligence according to the data operation monitored in step S4
The spinning equipment Optimum Regulation parameter of energy spinning workshop；
The environment control unit of the data processing module obtains intelligent spinning according to the data operation monitored in step S4
Air-conditioning equipment real-time monitoring parameter between charka；
S6. the data outputting module by the spinning equipment Optimum Regulation parameter of intelligence spinning workshop described in step S5 and
Air-conditioning equipment real-time monitoring parameter is exported to the Information Regulating system, and the spinning equipment of the Information Regulating system regulates and controls unit
Regulate and control the optimization operation of intelligent spinning workshop inside spinning equipment according to the spinning equipment Optimum Regulation parameter of the spinning workshop；
The air conditioning equipment regulation control unit of the Information Regulating system is adjusted in real time according to the spinning air-conditioning equipment of the spinning workshop
Control the optimization operation that parameter regulates and controls air-conditioning equipment in intelligent spinning workshop.
Beneficial effect
Compared with prior art, a kind of intelligent spinning workshop intelligent management system provided by the invention has following beneficial to effect
Fruit:
(1) the present invention is based on informatization and network technology, merge sensor technology and frequency control etc. set up intelligence spinning vehicle
Between intelligent management system, monitored in real time by data of the information monitoring system to entire spinning workshop, pass through information processing
System handles the data in spinning workshop, obtains the regulation parameter of intelligent spinning workshop, passes through Information Regulating system tune
The operation for controlling equipment in intelligent spinning workshop realizes the automated production from raw material to finished product and transports the matter of control and product
The on-line monitoring and control of amount and yield.
(2) present invention is optimal for target with raw cotton cost minimization, index of distributing cotton by constructing mathematical model of distributing cotton, can
Most suitable raw material is selected from raw material silo and determines each material rate, is guaranteeing that mixed raw material meets set index of distributing cotton
Under the premise of, realize the minimum of cost of material.
(3) present invention defines spinning from the visual angle of multi-process using the qualitative data of product as the first inspection target
Yarn quality control point and its loss function, and then using quality loss function as objective function, construct multi-process knowledge connection
Quality optimization model, and realize by automatic process control technology the control of spinning quality；In conjunction with yield data and life
Produce energy consumption data further to spinning process carry out it is appropriate optimize and revise and perfect, to significantly improve spinning quality, production
Efficiency reduces production cost.
(4) present invention is by information monitoring system, to the running state data of spinning workshop, product quality and yield number
Real-time monitoring is carried out according to, workshop condition data and energy consumption data etc., spinning workshop number can be provided in real time to information processing system
According to so that information processing system grasps the production efficiency, the quality of production and workshop condition etc. of spinning workshop, raising management at any time
Efficiency and management quality.
(5) present invention is by failure predication unit and failure diagnosis unit, and the running state data according to equipment is to equipment
Failure predication and fault diagnosis are carried out, and fault pre-alarming signal and failure warning signal are issued by fault warning unit, is prevented
Product quality caused by equipment fault and yield decline.
(6) present invention is stored up by the way that spinning equipment or spinning unit are numbered and are marked, and by the location information of label
It deposits to database module, each sensor is corresponded with its location information respectively, when equipment breaks down, data output
The location information of corresponding sensor is sent to fault warning unit by module, and fault warning unit carries out the location information
Display or casting realize the synchronization and fixed point detection of equipment fault, to find out the device location to break down rapidly, to mention
High spinning efficiency and quality.
(7) the intelligent control mode that environment control unit of the invention is combined using coarse adjustment with fine tuning, first according to flat
Wall is thermally conductive, heat convection, radiation heat transfer theory to air conditioning equipment regulation control unit send coarse adjustment indication signal, and passes through real-time reception
Temperature Humidity Sensor monitoring data in workshop further send fine tuning indication signal, realize the intelligence of temperature and humidity in spinning workshop
Control has the advantages that control precision is high, low energy consumption, reduces energy consumption cost and human cost.
(8) intelligent spinning workshop intelligent management system provided by the invention can reduce technical staff in product quality management
When because data record, data statistics and data analysis due to caused by a large amount of hard works, reduce human cost, while reinforce pair
The analysis and utilization of the past qualitative data realizes modernization, the scientific and standardization of management.
Detailed description of the invention
Fig. 1 is intelligent spinning workshop intelligent management system composition block diagram provided by the invention；
Fig. 2 is the composed structure schematic diagram of the intelligent spinning workshop intelligent management system of the present invention；
Fig. 3 is the data processing module composition and functional schematic of information processing system；
Fig. 4 is the composition schematic diagram of intelligent spinning workshop；
Fig. 5 is mixed yarn process flow chart；
Fig. 6 is the intelligent management flow chart of the intelligent spinning workshop intelligent management system provided；
Fig. 7 is spinning quality control point block diagram in quality intelligent Controlling model.
Specific embodiment
The technical solution to various embodiments of the present invention is subjected to clear, complete description below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments；Based on the embodiment of the present invention, this field is common
Technical staff's obtained all other embodiment without making creative work belongs to the present invention and is protected
Range.
With the development of informatization and network technology, sensor technology and variable-frequency control technique, the production of spinning workshop by
It walks and develops to automation, serialization and intelligent direction.In order to further cooperate the intelligent management of intelligent spinning workshop, thus
Realize that spinning products quality and yield maximum, the target of minimization of cost, the present invention provide a kind of intelligent spinning workshop intelligence
Management system, mentality of designing and design considerations are as follows:
Spinning process process is more complex, generally requires by the processes such as opening picking, cotton carding, drafting, rove, spun yarn, quality
It is required that relatively high yarn is also needed by combing process, at the same time, respectively used due to Quality Pure Cotton Yarn Production and chemical mixed yarn
Raw materials for production and quality requirement have differences, therefore are often also required to take different production procedures in processing.
It please refers to shown in Fig. 4, due in the actual production of textile mills, production efficiency and product matter of the temperature and humidity to workshop
Amount influences very big.The performance of textile fiber material is very strong to the sensibility of aerial temperature and humidity, and temperature and humidity is too low to be caused disconnected warp, shuts down
Phenomena such as increase；And temperature and humidity is excessively high, can cause light sizing, color difference and other issues.Experiments have shown that warm and humid by effectively controlling
Degree, can be improved the production efficiency and product quality of Weaving Shop.In addition, textile mills in spinning process, can generate many adherency
Property the floatings such as stronger dust, staple fiber, bacterium in air, not only will affect the quality of textile product, it is often more important that dirty
Air has been contaminated, or even can have been set off an explosion, has caused to seriously endanger.Therefore a spinning workshop generally comprises spinning equipment and air-conditioning is set
It is standby, air-conditioning equipment for the temperature and humidity and air purity of spinning workshop to be adjusted, with guarantee spinning products quality and
The normal operation of spinning equipment.
Wherein, the general procedure of Spinning process and each process action principle are as follows:
Distribute cotton be spinning process most early period work, mainly distributed cotton finger according to the requirement quality design data of product
Mark is mentioned the characteristics of choosing suitable raw material from raw material silo and determine each material rate, give full play to different material with reaching
High spinning products quality, the purpose stablized Spinning process, reduce spinning cost.
Opening and cleaning step is the first procedure of spinning process, mainly completes shredding, removal of impurities, mixing, uniform coiled four greatly
Task.Opening and cleaning step has the characteristics that more board, long flow path, processing is complicated and technical difficulty is big, process it is good
It is bad, it is related to the processing quality of subsequent spinning each process, is the basis of spinning technological process.
Carding step is mainly to the old miscellaneous, combing of raw fibre and uniformly mixed process, and final production goes out to meet
The carded sliver of certain specification and quality requirement.The quality of its process determines raw fibre beam by isolated degree, after influencing
The stretch exercise of raw fibre in continuous each process.
Mixing in doubling step, will be different mainly to cotton carding or the combing carded sliver into skilful and close, drawing-off, mixing and process in stripes
The carded sliver of thickness overlaps at random, through drawing-down, repeatedly and close and drawing-off to achieve the purpose that be sufficiently mixed raw material single fiber.
Roving Frames mainly need to complete drawing-off, twisting, three big tasks of winding, are first drawn and attenuated sliver attenuating by drawing-off
As rove, then rough sand is twisted, rove strength is promoted and is extended to avoid the accident of winding, it, will finally by winding
The package of certain shapes is made in rove after twisting, so as to later process use.
Spinning process is the most key procedure of spinning process.The quality of its processing quality is largely fixed
Whole spinner sesame is horizontal, and it is drawing-off, twisting and winding that spinning process, which needs the main task completed, will be fed by drawing-off
Rove item uniformly elongate, draw and attenuate to certain special number, then will carry out twisting appropriate and be spun into finally by winding
Package is made in spun yarn, be readily transported, store and subsequent reinforcement use.
The main task of winding procedure is that the spun yarn for producing spinning process is made big capacity, even density and shapes good
Good tube.
It is packaged and the tube that winding procedure is formed is packaged and is stored.
The working principle of air-conditioning equipment and effect are as follows:
Cleaner usually passes through exhaust fan and extracts waste cotton fibre, dust for generating in spinning workshop etc. out, through later separation
It is carried out separation and recycling with recyclable device, keeps the cleanliness of air in workshop up to standard, improved working efficiency and equipment uses the longevity
Life.
Temperature control equipment and Humidity regulating equipment are by return air under upper air-supply and top-spray system, according to warm in workshop
The data of the Temperature and Humidity module of humidity sensor monitoring, regulating air feeding device, air exhausting device and spraying device working frequency, and then control single
Position time air output, exhaust air rate and spray amount and vapo(u)rizing temperature, realize the control to temperature and humidity in workshop.
The energy consumption of air-conditioning equipment occupies most of the energy consumption of Spinning process in spinning workshop, therefore, to air-conditioning
The intelligent management of equipment operation is also the pith of intelligent spinning workshop management.
For intelligent spinning workshop by control system, spinning equipment and the air-conditioning equipment for controlling each process described above are regular
Operating, realize the intelligent management of intelligent spinning workshop, effectively control spinning quality and efficiency.
Embodiment 1
It please refers to shown in Fig. 1 and Fig. 2, is based on above-mentioned Spinning Principle, intelligence spinning workshop intelligent management provided by the invention
System includes:
Information monitoring system, for monitoring the data in intelligent spinning workshop；
Information processing system, at the data in intelligent spinning workshop for being monitored to the information monitoring system
Reason, obtains the regulation parameter of intelligent spinning workshop；With,
Information Regulating system, for regulating and controlling the fortune of equipment in intelligent spinning workshop according to the regulation parameter of the spinning workshop
Row；
The regulation parameter of the spinning workshop includes the regulation parameter of spinning equipment and the regulation parameter of air-conditioning equipment；
The Information Regulating system includes:
Spinning equipment regulates and controls unit, for regulating and controlling the operation of spinning equipment according to the regulation parameter of the spinning equipment；With,
Air conditioning equipment regulation control unit, for regulating and controlling the operation of air-conditioning equipment according to the regulation parameter of the air-conditioning equipment.
Further, the spinning equipment includes that opening picking equipment, carding device, drafting equipment, rove equipment, spun yarn are set
Standby, Spooling oquipment and baling equipment；The air-conditioning equipment includes cleaner, temperature control equipment and Humidity regulating equipment.
The regulation parameter of the spinning equipment includes opening picking equipment, carding device, drafting equipment, rove equipment, spun yarn
The regulation parameter of equipment, Spooling oquipment and baling equipment；The regulation parameter of the air-conditioning equipment includes cleaner, temperature adjusting
The regulation parameter of equipment and Humidity regulating equipment.
It please refers to shown in Fig. 2, the information monitoring system includes:
Equipment operational monitoring module, the running state data for monitoring device；
Workshop condition monitoring modular, for monitoring the environmental data in intelligent spinning workshop；
Quality of production monitoring modular, for monitoring the qualitative data of product；
Production yields monitoring modular, for monitoring the yield data of product；With,
Production energy consumption monitoring modular, for monitoring the energy consumption data of production.
The equipment operational monitoring module monitors to obtain the fortune of the equipment by being set to the sensor at each equipment
Row status data；
The workshop condition monitoring modular is supervised by the temperature and relative humidity and dust sensor being set in spinning workshop
Measure the environmental data in the intelligent spinning workshop；
The quality of production monitoring modular monitors to obtain institute by being set to the quality monitoring device at each spinning process
State the qualitative data of product；
The production yields monitoring modular monitors to obtain institute by being set to the output monitor at each spinning process
State the yield data of product；
The production energy consumption monitoring modular is monitored by being set to the energy-consumption monitoring device of power supply system and water system
To the energy consumption data of the production.
Further, the running state data of the equipment includes the running state data and air-conditioning equipment of spinning equipment
Running state data；The environmental data includes temperature data, humidity data and air cleaning degree in intelligent spinning workshop
According to.
Further, the running state data of the spinning equipment include opening picking equipment, carding device, drafting equipment,
Rove equipment, spun yarn equipment, the running state data of Spooling oquipment and baling equipment, the running state data of the air-conditioning equipment
Running state data including cleaner, temperature control equipment and Humidity regulating equipment.
The running state data of the opening picking equipment includes bale plucking equipment, mixed cotton equipment, opener equipment and scutching cotton equipment
Running state data；The running state data of the bale plucking equipment includes the starting and stopping of bale plucking equipment, bale plucking equipment
The decline traverse of the speed of service and hired roughneck's revolving speed, bale plucking equipment.
The running state data of the drafting equipment includes the speed of feeding roller, drawing rollers and delivery roller；It is described
The running state data of rove equipment includes roller output speed, drafting multiple, the twist, flier revolving speed, bobbin revolving speed and rail
Lifting speed；The running state data of the spun yarn equipment includes spindle revolving speed, wire loop revolving speed, ring plate lifting speed, leads
Yarn plate lifting speed, ring plate lifting traverse and thread board lifting traverse etc..
Further, the equipment operational monitoring module includes spinning equipment operational monitoring unit and air-conditioning equipment operation prison
Unit is surveyed, the spinning equipment operational monitoring unit includes opening picking equipment operational monitoring subelement, carding device operational monitoring
Subelement, drafting equipment operational monitoring subelement, rove equipment operational monitoring subelement, spun yarn equipment operational monitoring subelement,
Spooling oquipment operational monitoring subelement and baling equipment operational monitoring subelement.
It please refers to shown in Fig. 2, the information processing system includes the data inputting module being sequentially connected, data processing mould
Block, data outputting module and data disaply moudle, and be connected respectively with the data inputting module and data outputting module
Database module；
Data and the data outputting module of the database module for storing the data inputting module typing are defeated
Data out；
The data processing module obtains intelligent spinning for handling the data of the data inputting module typing
The regulation parameter in workshop；
The data outputting module includes two output ports, is respectively used to export the regulation parameter of the spinning workshop
To the Information Regulating system and export to data disaply moudle；
The data disaply moudle is used to show the regulation parameter of the spinning workshop.
Preferably, the data inputting module includes intelligent typing port and manual entry port, the intelligence typing end
The data in intelligent spinning workshop that mouth is monitored for information monitoring system described in typing, the manual entry port are used for people
Work logging data.
Further, the data processing module of the information processing system includes:
Distribute cotton unit, distribute cotton the intelligent operation of composition for the requirement quality data according to product；
Process design unit, the requirement quality data for distribute cotton according to composition and product carry out spinning equipment regulation
The intelligent operation of parameter；With,
Environment control unit, the intelligent operation of the regulation parameter for carrying out air-conditioning equipment according to the environmental data.
Further, the environment control unit includes coarse tuning system and micro-tensioning system, and the coarse tuning system passes through real-time
Environment temperature and humidity data, preset in advance Temperature and Humidity Control parameter are obtained, and is sent slightly to the air conditioning equipment regulation control unit
Adjust indication signal；The micro-tensioning system real-time reception Temperature Humidity Sensor monitoring data, and according to temperature and humidity Real-time Monitoring Data,
Send fine tuning indication signal in real time to air conditioning equipment regulation control unit.
Further, the unit of distributing cotton distribute cotton the intelligent operation of composition by building mathematical model of distributing cotton, described
Mathematical model of distributing cotton is optimal for target with raw cotton cost minimization, index of distributing cotton, and establishes the mathematical model of distributing cotton of multi-objective restriction.
Further, the composition of distributing cotton includes the qualitative data and composition ratio of raw material type, raw material；The product
Requirement quality data include the line density of yarn, fineness, the demand data of the twist and ultimate strength.
Preferably, the index of distributing cotton includes mic value, maturity, average length, short delicate fingers number, the fracture ratio of raw cotton
Intensity and neppiness index；The multi-objective restriction is including inventory's constraint of distributing cotton, total weight of distributing cotton constraint, type of distributing cotton constraint and matches
Cotton Index Constraints.
Preferably, the mathematical model of distributing cotton is optimal for target with raw cotton cost minimization, index of distributing cotton, and establishes multiple target about
The mathematical model of distributing cotton of beam, comprising the following steps:
SA1. decision variable is chosen
Decision variable of the dosage V of various raw cotton as mathematical model of originally distributing cotton is chosen, the number of decision variable is library
Deposit the number of species m of middle raw cotton；
SA2. objective function of distributing cotton is determined
(1) target distributed cotton first is that raw cotton cost minimization, the i.e. summation of raw cotton expense used in the cotton assorting scheme most
Small, every kind of raw cotton usage amount is V in certain cotton assorting schemeiKilogram, and the unit price of every kind of raw cotton per kilogram is PiMember, then raw cotton cost C
Calculation expression such as formula (1) shown in:
(2) another target distributed cotton is that index of distributing cotton is optimal, more there are six crucial indexs of distributing cotton, respectively horse
Clone's value, maturity, average length, short delicate fingers number, strength and cotton knot, therefore it includes six that index of actually distributing cotton is optimal
A objective function；I-th of raw cotton index of jth kind raw cotton is qji, then i-th of mean quality index ZiCalculation expression such as formula
(2) shown in:
The various optimal objective function f that distribute cottoniCalculation expression such as formula (3) shown in:
fi=| zi-bi|, i=1,2 ..., n (3)
Wherein, bi it is expected index of distributing cotton for i-th；
SA3. distribute cotton constraint
(1) inventory that distributes cotton constraint
The dosage ν of i-th kind of raw cotton in cotton assorting schemeiIt is necessarily less than its quantity in stock μi, (νiIt indicates not selecting the original when=0
Cotton, so also complying with inventory's constraint expression formula), then shown in inventory's constraint expression formula such as formula (4):
0≤νi≤μi, i=1,2 ..., m (4)
(2) total weight of distributing cotton constraint
The dosage ν of single raw cotton in cotton assorting schemeiIt can be not limited, but require the summation u of each raw cotton institute usage amount
Must be consistent with the total weight of distributing cotton of setting, then shown in total weight of distributing cotton constraint expression formula such as formula (5):
(3) type of distributing cotton constraint
In Spinning process, the raw cotton in inventory, raw cotton kind used in cotton assorting scheme are quickly dispatched for convenience
Class should not be excessive, and ξ is the upper limit of type, then shown in type of distributing cotton constraint expression formula such as formula (6).
2≤Count{νi≠ 0 }≤ξ, i=1,2 ..., m (6)
(4) distribute cotton Index Constraints
Since average length, strength index value require to be the bigger the better in index of distributing cotton, short delicate fingers number, cotton knot index
Value requires the smaller the better, and mic value, mature indicator value then require to be of moderate size.Therefore raw cotton index value is divided into blue class
Constraint, it may be assumed that lower limit constraint, intermediate restraint and upper limit constraint, the quality index collection accordingly constrained are combined into Bmin、BmidAnd Bmax；Distribute cotton
N in scheme indexs of averagely distributing cotton must within the limits prescribed, and the lower limit of j-th of index of distributing cotton is lj, upper limit hj, then
Shown in Index Constraints expression formula of distributing cotton such as formula (7):
SA4. mathematical model of distributing cotton is determined
According to step Sa1 to step Sa3, it can determine shown in mathematical model such as formula (8) of distributing cotton:
By the mathematical model of distributing cotton that approach described above constructs, energy optimal for target with raw cotton cost minimization, index of distributing cotton
It is enough to select most suitable raw material from raw material silo and determine each material rate, guaranteeing that mixed raw material meets set index of distributing cotton
Under the premise of, realize the minimum of cost of material.
Further, the data processing module of the information processing system further includes process optimization unit, for according to institute
The qualitative data, yield data and the energy consumption data of production for stating product carry out the optimization operation of spinning equipment regulation parameter.
The qualitative data of the product includes the qualitative data and resultant yarn of the qualitative data of raw material, each process semi-finished product
Qualitative data.
The qualitative data of the raw material includes the qualitative data of raw cotton and chemical fibre, the qualitative data of each process semi-finished product
Including opening and cleaning step, carding step, mixing in doubling step and Roving Frames semi-finished product qualitative data, the qualitative data of the resultant yarn
Yarn quality data including spinning process and winding procedure.
It please refers to shown in Fig. 5, when carrying out mixed yarn, the qualitative data of each process semi-finished product includes raw cotton opening picking
The semi-manufactured goods quality data of process, carding step, combing process, chemical fibre opening picking, cotton carding and pre-drawing process semi-manufactured goods quality
Data and mixed drafting and Roving Frames semi-manufactured goods quality data.
The qualitative data of the raw cotton includes mic value, maturity, average length, short delicate fingers number, the fracture ratio of raw cotton
Intensity and neppiness index, the qualitative data of the chemical fibre include chemical fibre regain, line density, shearing length and strength；
The qualitative data of the resultant yarn includes ultimate strength, cotton junction grain number, fineness, the twist and the hundred meters of mass deviation values of resultant yarn.
Further, the process optimization unit is established using the qualitative data of product as the first inspection target based on more
The quality optimization model of process knowledge connection, on this basis, in conjunction with yield data and production energy consumption data further to spinning
Yarn process optimizes.
Further, the quality optimization model constructs by the following method:
The construction method of the quality optimization model are as follows:
(1) qualifying point is constructed by each process in spinning process, establishes qualifying point set；
(2) using yarn breakage intensity as Key Quality Indicator, the quality loss function and entire spinning of each process are constructed
The quality loss function of yarn process；
(3) corresponding each qualifying point technique when obtaining mass loss minimum is solved by continuous iteration and optimizing
The optimal solution of parameter；
(4) it on spinning quality control point and its basis of coupling relationship, establishes towards Spinning process process matter
Measure Optimization goal function；
(5) quality loss function of each process and the quality loss function of entire spinning process quality is substituted into seek
Excellent objective function forms the quality optimization model.
Specific construction method is as follows:
It please refers to shown in Fig. 7, the multi-process qualifying point block diagram towards spinning process is constructed, by Spinning process process
Process is described as set S={ S1,S2,…Sn, and qualifying point set G={ G is established to each process respectivelyi1,Gi2,…,
Gij,…,Gipi, wherein Si indicates i-th of process during Spinning process, GijIndicate each quality control of the jth of i-th of process
Point.Another meter, piIt for the number of qualifying point in i-th of process, and defines m and indicates the number of all qualifying points, then
Have0 < i≤n.Meanwhile enabling L1(Gij) indicate qualifying point GijCorresponding technological parameter yijUnder control valve
Limit, L2(Gij) indicate qualifying point GijCorresponding technological parameter yijThe upper limit of control valve.
In this way, having corresponding qualifying point G for each process SiijAnd the corresponding matter of qualifying point
Measure output characteristic value Oij.As a result, to any one qualifying point GijFor, there are corresponding technological parameter actual value yij
And control threshold [L1(Gij),L2(Gij)], it is meant that process set S, qualifying point set G and technological parameter set Y it
Between there are mapping relations.
On this basis, defining the expression as shown in formula (9) influences the multi-load impact factor β of yarn breakage intensityij:
Wherein, yijWith y 'ijThe corresponding influence yarn breakage intensity of j-th of qualifying point of respectively i-th process
Process parameter value in technological parameter actual value and historical process design under the conditions of optimal quality；B is that qualifying point is related
Constant；N indicates process number.
On the basis of formula (9), in conjunction with the concrete technology flow process of Spinning process, define i-th as shown in formula (10)
The quality loss function of j-th of qualifying point of a process, it may be assumed that
Wherein, kijFor a coefficient, and kij=Aij/Δ2 ij, wherein ΔijAllow the limit tolerance of technological parameter for equipment,
AijExceed tolerance Δ for technological parameter2 ijWhen yarn breakage intensity penalty values；βijIt is characterization quality for multi-load impact factor
Control point GijCoupling relationship variable between its upstream qualifying point；yijAnd ytRespectively indicate i-th of process j-th
The actual value of technological parameter and the target value of control threshold function in qualifying point；CmptIt is process capability index, for indicating
The fluctuation status of process quality.
On the basis of formula (10), for each process during cotton spun yarn, exist as shown in formula (11)
Quality loss function, it may be assumed that
Wherein, Ci(yij) indicate the mass loss value of i-th of process, j-th of qualifying point, and j=1,2 ... pi, fi
(x) quality loss function of i-th of spinning process is indicated.
The each process quality loss function f defined in formula (11)i(x) on basis, then entire spinning process quality
The series connection that loss function can be expressed as the corresponding quality loss function of each process relativity point as shown in formula (12) is closed
System, it may be assumed that
Π(f1(x),f2(x) ..., fj(x) ..., fn(x)) (12)
It is a kind of as the transmitting of the mass loss of carrier and to add up in product that formula (12) shows that yarn qualities can be considered as
Journey, thus spinning quality control process can be considered a kind of searching process, solve to obtain mass damage by continuous iteration and optimizing
The optimal solution of corresponding each qualifying point technological parameter when losing minimum.
For this purpose, establishing on spinning quality control point defined above and its basis of coupling relationship towards spinning
Yarn production process quality Optimization goal function, it may be assumed that
On this basis, formula (9)-(12) are substituted into formula (13), and obtained objective function is unfolded, formed such as formula (14)
Shown in quality optimization model, it may be assumed that
By the solution to above-mentioned quality optimization model, yarning process parameter can be optimized, reduce yarn not
Qualification rate.Finally, further carrying out appropriate optimize and revise to spinning process in conjunction with yield data and production energy consumption data
With it is perfect.
It please refers to shown in Fig. 6, the management process of intelligence spinning workshop intelligent management system provided in this embodiment is as follows:
S1. at the requirement quality data of the data inputting module typing product of the information processing system, the data
The unit of distributing cotton of reason module obtains index of distributing cotton according to the requirement quality data operation of the product；
S2. the process design unit of the data processing module is according to the requirement quality of distribute cotton in step S1 index and product
Data, the spinning equipment that operation obtains intelligent spinning workshop initially regulate and control parameter；
The coarse tuning system of the environment control unit of the data processing module is distributed cotton index, product according to step S1
Requirement quality data and the temperature and humidity data of environment, the air-conditioning equipment that operation obtains intelligent spinning workshop are initially adjusted instantly
Control parameter；
S3. the data outputting module is initial by the spinning equipment of intelligence spinning workshop and air-conditioning equipment described in step S2
Regulation parameter is exported to Information Regulating system, and Information Regulating system is according at the beginning of the spinning equipment and air-conditioning equipment of the spinning workshop
Begin regulation parameter, regulates and controls the operation of intelligent spinning workshop inside spinning equipment and air-conditioning equipment；
S4. in intelligent spinning workshop in the operational process of equipment, the information monitoring system is in intelligent spinning workshop
Data carry out real-time monitoring, and the data monitored are sent to the data inputting module of the information processing system；
S5. the process optimization unit of the data processing module is according to qualitative data, the yield number monitored in step S4
Accordingly and production energy consumption data operation, obtain the spinning equipment Optimum Regulation parameter of intelligent spinning workshop；
The micro-tensioning system of the environment control unit of the data processing module is according to the warm and humid degree monitored in step S4
According to operation, the air-conditioning equipment real-time monitoring parameter of intelligent spinning workshop is obtained；
S6. the data outputting module by the spinning equipment Optimum Regulation parameter of intelligence spinning workshop described in step S5 and
Air-conditioning equipment real-time monitoring parameter is exported to the Information Regulating system, and the spinning equipment of the Information Regulating system regulates and controls unit
Regulate and control the optimization operation of intelligent spinning workshop inside spinning equipment according to the spinning equipment Optimum Regulation parameter of the spinning workshop；
The air conditioning equipment regulation control unit of the Information Regulating system is adjusted in real time according to the spinning air-conditioning equipment of the spinning workshop
Control the optimization operation that parameter regulates and controls air-conditioning equipment in intelligent spinning workshop.
Further, in the environment control unit control spinning workshop temperature and humidity method specifically includes the following steps:
S51. to open spinning workshop all spinning equipment moment as initial time, it is denoted as 0h, coarse tuning system passes through wireless
Network obtains local following 0~for 24 hours during weather forecast information, and therefrom extract t1, t2..., t24The environment temperature at moment
Degree and humidity data, are denoted as T1, T2..., T24And M1, M2..., M24；
S52. coarse tuning system call database module in t1Moment temperature and humidity T1And M1Under the conditions of corresponding temperature and humidity
Theoretical Temperature and Humidity Control parameter, and using this as preset Temperature and Humidity Control parameter, coarse adjustment is sent to air conditioning equipment regulation control unit
Indication signal；
S53. air conditioning equipment regulation control unit presses coarse adjustment indication signal, controls the fortune of temperature control equipment and Humidity regulating equipment
Row；
S54. micro-tensioning system receives Temperature Humidity Sensor monitoring data in spinning workshop at this time, if in t1In time, workshop
Interior temperature and humidity is maintained in 20~31 DEG C and 55%~65% range, then micro-tensioning system does not send indication signal；If in t1Time
Interior, temperature and humidity is maintained at outside upper limit value and lower limit value range in workshop, then micro-tensioning system is sent micro- to air conditioning equipment regulation control unit
Adjust indication signal；
S55. step S52~S54 is repeated, by coarse tuning system and micro-tensioning system successively to t2, t3..., t24Moment air-conditioning
Equipment regulates and controls unit and sends indication signal；
S56. as arrival t24When, coarse tuning system obtains the weather forecast information during next round 0~for 24 hours, and repeats step
S51~S55 reaches the continuous intelligent control to spinning workshop temperature and humidity with this.
Further, in step S54, the adjusting method of micro-tensioning system specifically: micro-tensioning system is receiving temperature and humidity
After sensor monitoring data, first determine whether temperature and humidity is limiting in range, if not having to send new indication signal；
If not existing, it is divided into two kinds of situations, the first is higher than upper limit value for temperature and humidity, passes through the difference of temperature and humidity and upper limit value at this time, calculates
Required humiture control parameter, second is temperature and humidity lower than lower limit value, passes through the difference of temperature and humidity and lower limit value at this time, calculates institute
Need humiture control parameter.
Embodiment 2
It please refers to shown in Fig. 2, the intelligent spinning workshop intelligent management system that embodiment 2 provides is compared with Example 1, different
Place is that the data processing module of the information processing system further includes failure predication unit, and the Information Regulating system is also
Including fault warning unit；
The failure predication unit carries out failure predication to equipment according to the running state data of the equipment, and passes through institute
It states fault warning unit and issues fault pre-alarming signal in advance, maintenance shut-downs actively are carried out to equipment by the way of giving warning in advance.
Further, the data processing module of the information processing system further includes failure diagnosis unit, for according to institute
The running state data for stating equipment judges whether equipment breaks down；And failure warning letter is issued by the fault warning unit
Number.
Further, the corresponding location information of each sensor is stored in the database module, each sensing
Device is corresponding with the location information of the sensor stored in the database module respectively, when yarn broken yarn occurs or equipment goes out
When existing failure, the location information of corresponding sensor is sent to the fault warning unit by the data outputting module.
Further, the fault warning unit has voice broadcast function, can synchronize the position for broadcasting the sensor
Information.
Further, the location information of the sensor is the location information for the equipment that sensor is monitored.Such as in reality
In the application of border, the label to sensor position information can be realized by carrying out Position Number and label to equipment.
Concretely: the equipment of intelligent spinning workshop being numbered and name label, drafting such as is denoted as to drafting equipment
Equipment 1, drafting equipment 2 ..., drafting equipment N, and this label is stored to the database module, by the label respectively with
The sensor of relevant device is corresponding, is shown according to number or casting can rapidly find out the drafting equipment to break down.
It further, include multiple rove units, spun yarn list for rove equipment, spun yarn equipment and Spooling oquipment
Therefore member and winder unit further can carry out Position Number and label, spinning equipment or spinning unit hair to each unit
Raw location of fault information is just shown or is broadcasted in the form of number.
100 spinning spun yarn units such as are contained for a spun yarn equipment, spun yarn unit is spun to each and is numbered, is denoted as
1,2 ..., 100, then corresponding number and title are stored to the database module, and successively right with the sensor respectively
It answers, is shown according to number or casting can rapidly find out the spinning spun yarn unit that broken yarn or failure occurs.
The management process of intelligence spinning workshop intelligent management system provided in this embodiment compared with Example 1, difference
It is in in equipment running process, failure predication unit and failure diagnosis unit, the running state data according to equipment is to setting
It is standby to carry out failure predication and fault diagnosis, and fault pre-alarming signal and failure warning signal are issued by fault warning unit, prevent
Only product quality caused by equipment fault and yield decline.
2 other content of embodiment is substantially the same manner as Example 1, and details are not described herein.
Embodiment 3
Embodiment 3 compared with Example 2, the difference is that, the opening picking equipment operational monitoring subelement includes machine
Device vision-based detection mechanism, other are substantially the same manner as Example 1, and details are not described herein.
Cotton is grabbed as the first procedure in opening and cleaning step, main function is that raw cotton and fiber are grabbed and opened
Pine, for going on smoothly for subsequent spinning process, it is desirable that the cotton block of crawl is as small as possible, and the uniformity of crawl cotton block will be as far as possible
It is high.Therefore, the opening picking equipment operational monitoring subelement is identified and is extracted cotton packet shape appearance figure by machine vision inspection agencies
As, griping cotton machine feature image and the characteristics of image for grabbing the environment feature image in cotton working range, and to described image feature into
Row processing obtains handling signal accordingly, realizes accurately identifying and extracting for shape characteristic, and then improves operating parameter design
Accuracy.
It is flat that the machine vision inspection agencies according to the characteristics of image of the cotton packet feature image handle to obtain cotton packet surface
Whole degree distribution signal；The machine vision inspection agencies are handled and are grabbed according to the characteristics of image of the griping cotton machine feature image
Cotton machine running position and operating state signal；The machine vision inspection agencies grab the environment shape in cotton working range according to
The risk factor signal in cotton working range is grabbed in looks characteristics of image, judgement.
Wherein, by obtaining cotton packet surface smoothness distribution signal, process optimization unit can be different for cotton packet height
Corresponding operating parameter is designed in region, prevents cotton packet to be uneven and crawl cotton block size caused by operating parameter is identical is inconsistent
The case where；Failure diagnosis unit can determine whether griping cotton machine generates event by obtaining griping cotton machine running position and operating state signal
Hinder and counte-rplan can be provided in time；The characteristics of image of the environment pattern in cotton working range, data processing mould are grabbed by obtaining
Block can issue emergency protection measure for some danger signals, if someone or other objects are when grabbing in cotton working range, hair
Emergency stop indicates out, reduces the generation of operating accident, also reduces damage of the foreign matter to equipment.
Further, the data processing module can also judge whether cotton packet grabs completion by cotton packet feature image, if
Crawl is completed, then regulates and controls unit to spinning equipment by the data outputting module and issue the tune that griping cotton machine is out of service and resets
Parameter is controlled, is further continued for running after waiting next group cotton packet to place.
Intelligent spinning workshop intelligent management system of the invention is based on informatization and network technology, merge sensor technology and change
Frequency modulation speed etc. is monitored in real time by data of the information monitoring system to entire spinning workshop, passes through information processing system pair
Data in spinning workshop are handled, and the regulation parameter of intelligent spinning workshop is obtained, and pass through Information Regulating system regulation intelligence
The operation of equipment in spinning workshop realizes the automated production from raw material to finished product and transports the quality and production of control and product
The on-line monitoring of amount and control.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (26)
1. a kind of intelligence spinning workshop intelligent management system characterized by comprising
Information monitoring system, for monitoring the data in intelligent spinning workshop；
Information processing system, the data in intelligent spinning workshop for monitoring to the information monitoring system are handled,
Obtain the regulation parameter of intelligent spinning workshop；With,
Information Regulating system, for regulating and controlling the operation of equipment in intelligent spinning workshop according to the regulation parameter of the spinning workshop；
The regulation parameter of the spinning workshop includes the regulation parameter of spinning equipment and the regulation parameter of air-conditioning equipment；
The Information Regulating system includes:
Spinning equipment regulates and controls unit, for regulating and controlling the operation of spinning equipment according to the regulation parameter of the spinning equipment；With,
Air conditioning equipment regulation control unit, for regulating and controlling the operation of air-conditioning equipment according to the regulation parameter of the air-conditioning equipment.
2. a kind of intelligent spinning workshop intelligent management system according to claim 1, which is characterized in that the information monitoring
System includes:
Equipment operational monitoring module, the running state data for monitoring device；
Workshop condition monitoring modular, for monitoring the environmental data in intelligent spinning workshop；
Quality of production monitoring modular, for monitoring the qualitative data of product；
Production yields monitoring modular, for monitoring the yield data of product；With,
Production energy consumption monitoring modular, for monitoring the energy consumption data of production.
3. a kind of intelligent spinning workshop intelligent management system according to claim 2, which is characterized in that the equipment operation
Monitoring modular monitors to obtain the running state data of the equipment by being set to the sensor at each equipment；
The workshop condition monitoring modular is monitored by the temperature and relative humidity and dust sensor being set in spinning workshop
To the environmental data in the intelligent spinning workshop；
The quality of production monitoring modular monitors to obtain the production by being set to the quality monitoring device at each spinning process
The qualitative data of product；
The production yields monitoring modular monitors to obtain the production by being set to the output monitor at each spinning process
The yield data of product；
The production energy consumption monitoring modular monitors to obtain institute by being set to the energy-consumption monitoring device of power supply system and water system
State the energy consumption data of production.
4. a kind of intelligent spinning workshop intelligent management system according to claim 3, which is characterized in that the equipment operation
Monitoring modular includes spinning equipment operational monitoring unit and air-conditioning equipment operational monitoring unit, the spinning equipment operational monitoring list
Member include opening picking equipment operational monitoring subelement, carding device operational monitoring subelement, drafting equipment operational monitoring subelement,
Rove equipment operational monitoring subelement, spun yarn equipment operational monitoring subelement, Spooling oquipment operational monitoring subelement and packing are set
Standby operational monitoring subelement.
5. a kind of intelligent spinning workshop intelligent management system according to any one of claims 1 to 4, which is characterized in that institute
Stating information processing system includes that data inputting module, data processing module, data outputting module and the data being sequentially connected are shown
Module, and the database module being connected respectively with the data inputting module and data outputting module；
Data and the data outputting module of the database module for storing the data inputting module typing export
Data；
The data in intelligent spinning workshop that the data inputting module is monitored for information monitoring system described in typing；
The data processing module obtains intelligent spinning workshop for handling the data of the data inputting module typing
Regulation parameter；
The data outputting module includes two output ports, is respectively used to export the regulation parameter of the spinning workshop to institute
Information Regulating system and output are stated to data disaply moudle；
The data disaply moudle is used to show the regulation parameter of the spinning workshop.
6. a kind of intelligent spinning workshop intelligent management system according to claim 5, which is characterized in that in the database
It is stored in spinning workshop that temperature and humidity upper limit value and lower limit value and ambient temperature range are at -5~40 DEG C, humidity range is 0
In the case where~99%, theoretical Temperature and Humidity Control parameter.
7. a kind of intelligent spinning workshop intelligent management system according to claim 5, which is characterized in that the data inputting
Module includes intelligent typing port and manual entry port, and the intelligence typing port is for the prison of information monitoring system described in typing
The data in intelligent spinning workshop measured, the manual entry port are used for manual entry data.
8. a kind of intelligent spinning workshop intelligent management system according to claim 5, which is characterized in that the information processing
The data processing module of system includes:
Distribute cotton unit, distribute cotton the intelligent operation of composition for the requirement quality data according to product；
Process design unit, the requirement quality data for distribute cotton according to index and product carry out spinning equipment and regulate and control parameter
Intelligent operation；With,
Environment control unit, the intelligent operation of the regulation parameter for carrying out air-conditioning equipment according to the environmental data.
9. a kind of intelligent spinning workshop intelligent management system according to claim 8, which is characterized in that the unit of distributing cotton
Distribute cotton the intelligent operation of composition by constructing mathematical model of distributing cotton, the mathematical model of distributing cotton with raw cotton cost minimization, match
Optimal cotton index is target, establishes the mathematical model of distributing cotton of multi-objective restriction.
10. a kind of intelligent spinning workshop intelligent management system according to claim 9, which is characterized in that the finger of distributing cotton
Mark includes mic value, maturity, average length, short delicate fingers number, strength and the neppiness index of raw cotton；The multiple target
Constraint includes distribute cotton inventory's constraint, total weight of distributing cotton constraint, type of distributing cotton constraint and Index Constraints of distributing cotton.
11. a kind of intelligent spinning workshop intelligent management system according to claim 8, which is characterized in that at the information
The data processing module of reason system further includes process optimization unit, for according to the qualitative data of the product, yield data with
And the energy consumption data of production carries out the optimization operation of spinning equipment regulation parameter.
12. a kind of intelligent spinning workshop intelligent management system according to claim 11, which is characterized in that the technique is excellent
Change unit using the qualitative data of product as the first inspection target, establishes the quality of the multi-process knowledge connection based on spinning process
Optimized model on this basis further optimizes spinning process in conjunction with yield data and production energy consumption data.
13. a kind of intelligent spinning workshop intelligent management system according to claim 12, which is characterized in that described quality
Change the construction method of model are as follows:
(1) qualifying point is constructed by each process in spinning process, establishes qualifying point set；
(2) it using yarn breakage intensity as Key Quality Indicator, constructs the quality loss function of each process and entirely spinned
The quality loss function of journey；
(3) corresponding each qualifying point technological parameter when obtaining mass loss minimum is solved by continuous iteration and optimizing
Optimal solution；
(4) on spinning quality control point and its basis of coupling relationship, foundation is sought towards Spinning process procedure quality
Excellent objective function；
(5) quality loss function of each process and the quality loss function of entire spinning process are substituted into quality optimizing mesh
Scalar functions form the quality optimization model.
14. a kind of intelligent spinning workshop intelligent management system according to claim 8, which is characterized in that at the information
The data processing module of reason system further includes failure predication unit, and the Information Regulating system further includes fault warning unit；Institute
It states failure predication unit and failure predication is carried out to equipment according to the running state data of the equipment, and pass through the fault warning
Unit issues fault pre-alarming signal in advance.
15. a kind of intelligent spinning workshop intelligent management system according to claim 14, which is characterized in that at the information
The data processing module of reason system further includes failure diagnosis unit, for judging equipment according to the running state data of the equipment
Whether break down；And failure warning signal is issued by the fault warning unit.
16. a kind of intelligent spinning workshop intelligent management system according to claim 8, which is characterized in that the environment control
Unit processed includes coarse tuning system and micro-tensioning system, and the coarse tuning system by obtaining environment temperature and humidity data in real time, in advance
Default Temperature and Humidity Control parameter, and coarse adjustment indication signal is sent to the air conditioning equipment regulation control unit；The micro-tensioning system is real-time
Temperature Humidity Sensor monitoring data are received, and according to temperature and humidity Real-time Monitoring Data, are sent in real time to air conditioning equipment regulation control unit
Finely tune indication signal.
17. a kind of intelligent spinning workshop intelligent management system according to claim 6, which is characterized in that the database
Also be stored with the corresponding location information of each sensor in module, each sensor respectively with the database module memory
The location information of the sensor of storage is corresponding, when there is broken yarn in yarn or equipment breaks down, the data outputting module
The location information of corresponding sensor is sent to the fault warning unit.
18. a kind of intelligent spinning workshop intelligent management system according to claim 6, which is characterized in that the database
Theoretical Temperature and Humidity Control parameter is on the basis of maintaining spinning workshop internal standard temperature value and standard humidity value in module, according to planomural
Thermally conductive, heat convection, radiation heat transfer theoretical calculation；Wherein, normal temperature value and standard humidity value are respectively in temperature and humidity
The median of limit value and lower limit value.
19. a kind of intelligent spinning workshop intelligent management system according to claim 4, which is characterized in that the opening picking
Equipment operational monitoring subelement includes machine vision inspection agencies, for identification with extract cotton packet feature image, griping cotton machine pattern
Image and the characteristics of image for grabbing the environment feature image in cotton working range.
20. a kind of intelligent spinning workshop intelligent management system according to claim 8, which is characterized in that the group of distributing cotton
At the qualitative data and composition ratio for including raw material type, raw material；The requirement quality data of the product include that the line of yarn is close
Degree, fineness, the demand data of the twist and ultimate strength.
21. a kind of intelligent spinning workshop intelligent management system according to claim 11, which is characterized in that the product
Qualitative data includes the qualitative data of the qualitative data of raw material, the qualitative data of each process semi-finished product and resultant yarn.
22. a kind of intelligent spinning workshop intelligent management system according to claim 21, which is characterized in that the raw material
Qualitative data includes the qualitative data of raw cotton and chemical fibre, and the qualitative data of each process semi-finished product includes opening and cleaning step, comb
The qualitative data of cotton process, mixing in doubling step and Roving Frames semi-finished product, the qualitative data of the resultant yarn include spinning process and network
The yarn quality data of cylinder process.
23. a kind of intelligent spinning workshop intelligent management system according to claim 20, which is characterized in that the raw cotton
Qualitative data includes mic value, maturity, average length, short delicate fingers number, strength and the neppiness index of raw cotton, described
The qualitative data of chemical fibre includes chemical fibre regain, line density, shearing length and strength；The qualitative data packet of the resultant yarn
Include ultimate strength, cotton junction grain number, fineness, the twist and the hundred meters of mass deviation values of resultant yarn.
24. a kind of intelligent spinning workshop intelligent management system according to claim 3, which is characterized in that the equipment
Running state data includes the running state data of spinning equipment and the running state data of air-conditioning equipment；The environmental data packet
Include temperature data, humidity data and the air purity data in intelligent spinning workshop.
25. a kind of intelligent spinning workshop intelligent management system according to claim 1, which is characterized in that the spinning is set
Standby includes opening picking equipment, carding device, drafting equipment, rove equipment, spun yarn equipment, Spooling oquipment and baling equipment；It is described
Air-conditioning equipment includes cleaner, temperature control equipment and Humidity regulating equipment.
26. according to a kind of described in any item intelligent spinning workshop intelligent management systems of claim 8 to 25, which is characterized in that
The management process of the intelligence spinning workshop intelligent management system is as follows:
S1. from the requirement quality data of the data inputting module typing product of the information processing system, the data processing mould
Root tuber obtains composition of distributing cotton according to the requirement quality data operation of the product；
S2. the data processing module is distributed cotton the requirement quality data of composition and product according to step S1, and operation obtains
The spinning equipment of intelligent spinning workshop initially regulates and controls parameter；
The data processing module is distributed cotton the requirement quality data and environment instantly of index and product according to step S1
Temperature and humidity data, the air-conditioning equipment that operation obtains intelligent spinning workshop initially regulates and controls parameter；
S3. the data outputting module initially regulates and controls the spinning equipment of intelligence spinning workshop described in step S2 and air-conditioning equipment
Parameter is exported to the Information Regulating system, and the Information Regulating system is set according to the spinning equipment and air-conditioning of the spinning workshop
Standby initial regulation parameter regulates and controls the operation of equipment in intelligent spinning workshop；
S4. in intelligent spinning workshop in the operational process of equipment, the information monitoring system is to the number in intelligent spinning workshop
According to carrying out real-time monitoring, and the data monitored are sent to the data inputting module of the information processing system；
S5. the process optimization unit of the data processing module obtains intelligent spinning according to the data operation monitored in step S4
Spinning equipment Optimum Regulation parameter between charka；
The environment control unit of the data processing module obtains intelligence spinning vehicle according to the data operation monitored in step S4
Between air-conditioning equipment real-time monitoring parameter；
S6. the data outputting module is by the spinning equipment Optimum Regulation parameter and air-conditioning of intelligence spinning workshop described in step S5
Equipment real-time monitoring parameter is exported to the Information Regulating system, the spinning equipment regulation unit of the Information Regulating system according to
The spinning equipment Optimum Regulation parameter of the spinning workshop regulates and controls the optimization operation of intelligent spinning workshop inside spinning equipment；
The air conditioning equipment regulation control unit of the Information Regulating system is joined according to the spinning air-conditioning equipment real-time monitoring of the spinning workshop
Number regulates and controls the optimization operation of air-conditioning equipment in intelligent spinning workshop.
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